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49 lines
2.0 KiB
Scala
49 lines
2.0 KiB
Scala
package com.twitter.home_mixer.functional_component.scorer
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import com.twitter.home_mixer.model.HomeFeatures.InNetworkFeature
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import com.twitter.home_mixer.model.HomeFeatures.IsRetweetFeature
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import com.twitter.home_mixer.model.HomeFeatures.ScoreFeature
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import com.twitter.product_mixer.component_library.model.candidate.TweetCandidate
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import com.twitter.product_mixer.core.feature.Feature
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import com.twitter.product_mixer.core.feature.featuremap.FeatureMap
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import com.twitter.product_mixer.core.feature.featuremap.FeatureMapBuilder
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import com.twitter.product_mixer.core.functional_component.scorer.Scorer
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import com.twitter.product_mixer.core.model.common.CandidateWithFeatures
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import com.twitter.product_mixer.core.model.common.identifier.ScorerIdentifier
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import com.twitter.product_mixer.core.pipeline.PipelineQuery
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import com.twitter.stitch.Stitch
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/**
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* Scales scores of each out-of-network tweet by the specified scale factor
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*/
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object OONTweetScalingScorer extends Scorer[PipelineQuery, TweetCandidate] {
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override val identifier: ScorerIdentifier = ScorerIdentifier("OONTweetScaling")
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override val features: Set[Feature[_, _]] = Set(ScoreFeature)
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private val ScaleFactor = 0.75
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override def apply(
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query: PipelineQuery,
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candidates: Seq[CandidateWithFeatures[TweetCandidate]]
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): Stitch[Seq[FeatureMap]] = {
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Stitch.value {
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candidates.map { candidate =>
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val score = candidate.features.getOrElse(ScoreFeature, None)
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val updatedScore = if (selector(candidate)) score.map(_ * ScaleFactor) else score
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FeatureMapBuilder().add(ScoreFeature, updatedScore).build()
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}
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}
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}
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/**
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* We should only be applying this multiplier to Out-Of-Network tweets.
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* In-Network Retweets of Out-Of-Network tweets should not have this multiplier applied
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*/
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private def selector(candidate: CandidateWithFeatures[TweetCandidate]): Boolean = {
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!candidate.features.getOrElse(InNetworkFeature, false) &&
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!candidate.features.getOrElse(IsRetweetFeature, false)
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}
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}
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